Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Fashion MNIST dataset is a multi-class classification situation where we are trying… Read More
Python Deep Learning Templates v4 for Classification and Regression
As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly. Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that can be used to support modeling classification and regression problems using Python and… Read More
Web Scraping of O’Reilly TensorFlow World 2019 London Using Python
SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping Python code leverages the BeautifulSoup module. INTRODUCTION: The O’Reilly TensorFlow World conference covers the full range of topics in leveraging TensorFlow and its ecosystem for today’s powerful neural networks. This web scraping… Read More
Provisioning AWS Ubuntu-based EC2 for Python Deep Learning Projects
Below are my notes for provisioning a Python3/Jupyter server using AWS’ Ubuntu AMI. These notes captured my installation process during the week of 25 November 2019. My goal for this document is to list the various steps required to create a GPU-equipped Linux instance in AWS that can be used for machine/deep learning project in… Read More
Time Series Model for Cow Milk Production Using Python
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a time series prediction model and document the end-to-end steps using a template. The Cow Milk Production dataset is a time series situation where we are trying to forecast future… Read More
Regression Model for Online News Popularity Using Python Take 4
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Online News Popularity dataset is a regression situation where we are trying… Read More
Deep Learning Regression Model for Online News Popularity Using Keras
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Online News Popularity dataset is a regression situation where we are trying… Read More
Web Scraping of O’Reilly Artificial Intelligence Conference 2019 London Using Python
SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping R code leverages the rvest package. INTRODUCTION: The O’Reilly Artificial Intelligence (AI) Conference covers the full range of topics in leveraging the AI technologies for developing software applications and creating innovative solutions.… Read More
Binary Classification Deep Learning Model for Credit Card Default Using Keras
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The Credit Card Default dataset is a binary classification situation where we are… Read More
Time Series Model for Ozone Concentration at Arosa Using Python
Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a time series prediction model and document the end-to-end steps using a template. The Ozone Concentration at Arosa dataset is a time series situation where we are trying to forecast… Read More
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